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What is ZXJ ICDM2022 about?

The document discusses the detrimental effects of out-of-distribution (OOD) data on semi-supervised learning (SSL) performance, particularly emphasizing the role of batch normalization (BN). It proposes a novel weighted robust SSL framework that utilizes implicit differentiation and high-order approximations to enhance model robustness against OOD data. Experimental results indicate that the proposed method outperforms existing approaches, demonstrating improved stability and performance even with limited l

Author

zhaoxuj32

Language

EN